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The success of many image restoration algorithms is often due to their ability to sparsely describe the original signal. Shukla <etal/> proposed a compression algorithm, based on a sparse quadtree decomposition model, which could optimally represent piecewise polynomial images. In this paper, we adapt this model to the image restoration by changing the rate-distortion penalty to a description-length...
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